Elmore Joann G, Miglioretti Diana L, Reisch Lisa M, Barton Mary B, Kreuter William, Christiansen Cindy L, Fletcher Suzanne W
Department of Medicine, University of Washington School of Medicine, Seattle 98104, USA.
J Natl Cancer Inst. 2002 Sep 18;94(18):1373-80. doi: 10.1093/jnci/94.18.1373.
Previous studies have shown that the agreement among radiologists interpreting a test set of mammograms is relatively low. However, data available from real-world settings are sparse. We studied mammographic examination interpretations by radiologists practicing in a community setting and evaluated whether the variability in false-positive rates could be explained by patient, radiologist, and/or testing characteristics.
We used medical records on randomly selected women aged 40-69 years who had had at least one screening mammographic examination in a community setting between January 1, 1985, and June 30, 1993. Twenty-four radiologists interpreted 8734 screening mammograms from 2169 women. Hierarchical logistic regression models were used to examine the impact of patient, radiologist, and testing characteristics. All statistical tests were two-sided.
Radiologists varied widely in mammographic examination interpretations, with a mass noted in 0%-7.9%, calcification in 0%-21.3%, and fibrocystic changes in 1.6%-27.8% of mammograms read. False-positive rates ranged from 2.6% to 15.9%. Younger and more recently trained radiologists had higher false-positive rates. Adjustment for patient, radiologist, and testing characteristics narrowed the range of false-positive rates to 3.5%-7.9%. If a woman went to two randomly selected radiologists, her odds, after adjustment, of having a false-positive reading would be 1.5 times greater for the radiologist at higher risk of a false-positive reading, compared with the radiologist at lowest risk (95% highest posterior density interval [similar to a confidence interval] = 1.17 to 2.08).
Community radiologists varied widely in their false-positive rates in screening mammograms; this variability range was reduced by half, but not eliminated, after statistical adjustment for patient, radiologist, and testing characteristics. These characteristics need to be considered when evaluating false-positive rates in community mammographic examination screening.
先前的研究表明,解读一组乳腺钼靶检查图像的放射科医生之间的一致性相对较低。然而,来自现实环境的可用数据却很稀少。我们研究了在社区环境中执业的放射科医生对乳腺钼靶检查的解读情况,并评估了假阳性率的变异性是否可以通过患者、放射科医生和/或检查特征来解释。
我们使用了1985年1月1日至1993年6月30日期间在社区环境中至少接受过一次乳腺钼靶筛查的40 - 69岁随机选取女性的病历。24名放射科医生解读了来自2169名女性的8734份乳腺钼靶筛查图像。使用分层逻辑回归模型来检验患者、放射科医生和检查特征的影响。所有统计检验均为双侧检验。
放射科医生对乳腺钼靶检查的解读差异很大,在读取的乳腺钼靶图像中,发现肿块的比例为0% - 7.9%,发现钙化的比例为0% - 21.3%,发现纤维囊性改变的比例为1.6% - 27.8%。假阳性率在2.6%至15.9%之间。年轻且最近接受培训的放射科医生假阳性率更高。对患者、放射科医生和检查特征进行调整后,假阳性率范围缩小至3.5% - 7.9%。如果一名女性让两名随机选取的放射科医生进行检查,调整后,与假阳性风险最低的放射科医生相比,假阳性解读风险较高的放射科医生使她出现假阳性读数的几率要高1.5倍(95%最高后验密度区间[类似于置信区间] = 1.17至2.08)。
社区放射科医生在乳腺钼靶筛查中的假阳性率差异很大;在对患者、放射科医生和检查特征进行统计调整后,这种变异性范围减少了一半,但并未消除。在评估社区乳腺钼靶检查筛查中的假阳性率时,需要考虑这些特征。